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Daniele Dell'Aglio

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Daniele Dell'Aglio

Associate Professor

 https://orcid.org/0000-0003-4904-2511

  • Selma Lagerløfs Vej 300

    9220 Aalborg Øst

    Denmark

20202026

Research activity per year

Personal profile

Research profile

My research focuses on data management, knowledge graphs, and privacy-aware data analytics. I am particularly interested in methods that make complex, heterogeneous, and sensitive data easier to integrate, query, analyse, and reuse.
A central part of my work concerns knowledge graph construction and semantic data integration, with applications in domains where data is distributed, evolving, or difficult to access directly. I also work on privacy-preserving analytics, synthetic data generation, privacy metrics, and methods for evaluating the utility and risks of data-driven systems.
I am interested in combining symbolic and statistical approaches, including knowledge representation, graph-based methods, machine learning, and large language models. My research often addresses practical challenges in interdisciplinary settings, including health and biomedical data, scholarly data, and data-intensive digital infrastructures.
I currently contribute to research on heterogeneous semantic data integration for the gut-brain interplay, with a focus on privacy-aware and reusable data infrastructures. More broadly, my work aims to support trustworthy data science: systems and methods that enable data use while respecting privacy, provenance, interpretability, and domain expertise.

Teaching profile

I currently teach Data Privacy and Security (DVML), Learning and Advanced Analytics of Graph Data (DVML) and Database Development (BaIT, IxD and DAD).
I value project-oriented and problem-based learning, where students work with realistic data challenges and learn to connect conceptual models, algorithms, software systems, and domain requirements. In my teaching and supervision, I encourage students to develop strong technical skills while also reflecting on issues such as data quality, privacy, transparency, reproducibility, and societal impact.
I supervise student projects related to databases, data integration, graph data management, knowledge representation, machine learning for data management, privacy-preserving analytics, and applications of large language models, particularly in health, biomedical, and scholarly data contexts.

PhD Supervision

I am interested in supervising PhD projects in data management, knowledge graphs, semantic data integration, privacy-preserving analytics, and trustworthy data science.
Relevant PhD topics include, but are not limited to, knowledge graph construction and enrichment, graph-based data integration, dataset discovery and recommendation, privacy-aware synthetic data generation, privacy metrics, federated and distributed data workflows, and the use of large language models for structured knowledge extraction and data management.
I am particularly interested in projects that combine strong technical contributions with interdisciplinary applications, for example in health, biomedical, scholarly, or other data-intensive domains where data is heterogeneous, sensitive, distributed, or difficult to reuse.

Keywords

  • Computer Science
  • Knowledge graphs
  • Knowledge engineering
  • Data privacy

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 16 - Peace, Justice and Strong Institutions
    SDG 16 Peace, Justice and Strong Institutions

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Collaborations and top research areas from the last five years

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  • 1 External examination